Apple's Applications Data Science team is seeking a Staff Data Scientist to drive innovation in subscription services and product development. This role combines advanced machine learning modeling with strategic business impact, supporting user growth and feature optimization. You'll work at the intersection of statistical modeling, causal inference, and product analytics, collaborating with cross-functional teams to enhance user experiences.
As a Staff Data Scientist, you'll lead sophisticated projects from ideation to deployment, developing and implementing advanced behavioral and predictive models. The role demands both technical expertise in machine learning and statistical methods, as well as strong business acumen to translate complex analyses into actionable insights. You'll partner with engineers, product managers, business leaders, and designers to drive data-informed decisions.
The ideal candidate brings 6+ years of industry experience, with at least 2 years at the staff level. You should have deep expertise in quantitative methods, statistical modeling, and machine learning techniques, including regression, classification, clustering, and deep learning. Experience with big data tools like Hadoop, Spark, and Hive is essential.
This position offers competitive compensation ($165,500-$293,800) and comprehensive benefits, including medical coverage, stock options, and education reimbursement. You'll be part of a team that shapes the future of Apple's subscription services, working on impactful projects that reach millions of users. The role combines technical challenges with business strategy, offering opportunities for growth and innovation in a collaborative environment.